Senior Data Engineer

AI Futures; München; Hybrid; EUR 80.000 - 110.000; Vollzeit

Benefits dieser Stelle

Modern, innovative workplace

Collaborative team culture

Flexible working arrangements

Competitive compensation

Zusammenfassung

A dynamic technology consultancy is seeking a Senior Data Engineer to shape and maintain their modern data infrastructure in Munich. The role involves designing scalable data pipelines, collaborating with teams, and using Python, SQL, and Databricks. Candidates should have over 3 years of experience in data engineering and German language proficiency at B2 level or higher. Flexible working arrangements are offered.

Qualifikationen

• 3+ years of experience in data engineering or a similar technical field.
• Strong practical experience with Databricks or Microsoft Fabric.
• Advanced skills in Python, SQL, and dbt.
• German language proficiency at B2 level or higher, plus solid English skills.

Aufgaben

• Design, build, and maintain scalable data pipelines using Databricks or Microsoft Fabric.
• Develop and manage ETL/ELT workflows and data transformations with dbt.
• Collaborate with cross-functional teams to deliver clean, high-quality, and accessible data.
• Collaborate with cross-functional teams to deliver clean, high-quality, and accessible data.
• Contribute to data architecture, governance, and performance optimization initiatives.
• Support the integration of new data sources and assist in implementing best practices across the engineering team.

Kenntnisse

Databricks

Python

SQL

dbt

Data pipeline orchestration

Data warehousing

Cloud-based architectures

Tools

Databricks

Microsoft Fabric

dbt

Python

SQL

Jobbeschreibung

Senior Associate | AI Futures | Filling the AI skills gap ®

Location: Germany (Hybrid – 3 days per week in office)

About the Company

Join a dynamic and forward-thinking technology consultancy that helps organizations harness the power of data to make smarter business decisions. The company partners with clients across industries to design, build, and optimize scalable data platforms — combining deep technical expertise with a collaborative, solutions-driven culture.

About the Role

As a Senior Data Engineer, you will play a key role in shaping and maintaining the company’s modern data infrastructure. You’ll design efficient data pipelines, support the development of data models, and ensure that the flow of data across systems is smooth, reliable, and ready for analytics. Working closely with technical and business teams, you’ll turn complex data challenges into actionable insights that drive value for clients.

Your Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks or Microsoft Fabric.
• Develop and manage ETL/ELT workflows and data transformations with dbt.
• Use Python and SQL to develop efficient, maintainable data solutions.
• Collaborate with cross-functional teams to deliver clean, high-quality, and accessible data.
• Contribute to data architecture, governance, and performance optimization initiatives.
• Support the integration of new data sources and assist in implementing best practices across the engineering team.

Your Profile

• 3+ years of experience in data engineering or a similar technical field.
• Strong practical experience with Databricks or Microsoft Fabric.
• Advanced skills in Python, SQL, and dbt.
• Experience in data pipeline orchestration, data warehousing, and cloud-based architectures.
• Solid understanding of data governance, version control, and CI/CD processes.
• Analytical mindset with a proactive and collaborative approach to problem-solving.
• German language proficiency at B2 level or higher, plus solid English skills.
• Comfortable working on-site 3 days per week in a hybrid setup.

What’s on Offer

• A modern, innovative workplace with a focus on impact and continuous learning.
• A collaborative team culture that values ownership, curiosity, and knowledge sharing.
• Flexible working arrangements combining on-site and remote work.
• Competitive compensation and opportunities for professional development.

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